Advances in Intelligent Systems and Computing II

Beschreibung

This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on data mining and knowledge extraction technologies, as well as central issues in intelligent information management.

Written by active researchers, the respective chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2017), held on September 5–8, 2017, in Lviv, Ukraine; and at two workshops accompanying the conference: one on inductive modeling, jointly organized by the Lviv Polytechnic National University and the National Academy of Science of Ukraine; and another on project management, which was jointly organized by the Lviv Polytechnic National University, the International Project Management Association, the Ukrainian Project Management Association, the Kazakhstan Project Management Association, and Nazarbayev University.

Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Autor*in

Natalia Shakhovska

Themen in »Advances in Intelligent Systems and Computing II«

Information Content Optimization Implementation of Search Engines GMDH-Based Models Neuro-Fuzzy Systems Real-Time Neuronetworks Discrete Dynamic Models Knowledge-Intensive Industries Adaptive Enhancement Models Of Conflict Harmonization Decision Support Systems Big Data Processing Computer-Aided Design Intelligent Information Management Grammatically Augmented Ontology Virtual Research Teams

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